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    Enables static security audit of Solidity smart contracts by analyzing source code or deployed bytecode for vulnerabilities, providing risk scores and detailed findings.
    1
    MIT
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    A read-only MCP server for PostgreSQL schemas and their git history, enabling AI agents to inspect schema details, migrations, ERDs, missing indexes, circular foreign keys, and churn without write access.
    8
    AGPL 3.0
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    MCP server for safely inspecting and editing Unity/VRChat prefabs, scenes, and assets. It diagnoses override collisions, broken references, and runtime exceptions, with read-only YAML analysis and write operations via an Editor Bridge.
    11
    MIT
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    A Model Context Protocol server that enables AI-powered analysis of NPM packages through multiple tools for security vulnerability scanning, dependency analysis, package comparison, and quality assessment.
    19
    1,195
    18
    TypeScript
    MIT
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    Provides LLMs and AI agents safe, structured, read-only access to verification artifacts for deterministic triage and root-cause analysis. Supports UVM, cocotb, and SystemVerilog verification ecosystems.
    4
    Apache 2.0
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    maintenance
    An MCP server that scans code for exposed secrets (API keys, tokens, private keys, high-entropy strings) with placeholder-aware allowlisting and fully redacted reports, enabling agents to detect leaks before committing.
    2
    MIT
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    Read-only MCP tools for coding agents to audit deployment targets, detect fabricated code, review backlog, database schema, analytics, ML models, architecture docs, and decision lenses.
    11
    19
    MIT
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    MCP server that enables AI agents to search code, find files, and read files in a codebase at lightning speed using ripgrep.
    MIT
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    quality
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    Sentinel is an enterprise-grade security server that integrates tools like Semgrep, Trivy, and Gitleaks via Docker to perform automated vulnerability scanning and compliance checks. It enables users to conduct static analysis, secret detection, and AI-powered threat modeling directly through Model Context Protocol-compatible IDEs.
    1
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  • F
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    quality
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    maintenance
    Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
    7
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